Non-Photorealistic Rendering for Streamline Stylization Using Sequential Filters

Non-Photorealistic Rendering for Streamline Stylization Using Sequential Filters
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使用顺序滤波器进行非真实感渲染以简化风格化

DOI:
10.1109/ihmsc.2012.68
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发表时间:
2012
期刊:
International Conference on Intelligent Human-Machine Systems and Cybernetics
影响因子:
--
通讯作者:
Ran Wu
Ran Wu
中科院分区:
--
文献类型:
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作者:
Xiaoguang Chen;Jiang Liu;Ran Wu

文献摘要

被引文献

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风格化等非真实感渲染(NPR)在计算机图形和图像处理领域受到广泛关注。本文提出了一种简单有效的流线型化方法。该方法通过一种顺序滤波器,进行细节去除、区域平滑、结构增强、边缘锐化等一系列操作,将普通图片转化为类似印象派油画的流线风格图像。在图像库上的实验结果表明,我们的方法可以以良好的 NPR 风格令人印象深刻地渲染图像,并提供令人鼓舞的视觉效果。
Non-photorealistic rendering (NPR) such as stylization has received much concern in area of computer graphics and image processing. In this paper, a simple and effective method is proposed for streamline stylization. Through a kind of sequential filters, the method performs a series of operations, including detail removal, region smoothing, structure enhancement, and edge sharpen, to transform common pictures into Impressionist oil-painting like images with streamline style. Experimental results on a gallery of images demonstrate that our method can render images in good NPR style impressively and provide encouraging visual effects.